Automate expense tracking, run smart financial queries, and integrate real financial data with LLMs using a terminal-based interface that connects to Notion.
Directory
MCP Server Directory
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
MCP Servers listings
Enables efficient read-only access to Notion content for AI assistants by reducing the number of exposed API tools.
NO
Nova
CommunityOrchestrates interactions with Amazon Bedrock for model control plane (MCP) functionalities.
NR
Nova Reel
CommunityFacilitates asynchronous video generation using Amazon Nova Reel and AWS Bedrock through a Model Context Protocol (MCP) server.
NO
NovaCV
CommunityStreamlines resume creation and analysis by integrating with the NovaCV API for PDF generation, format conversion, and content analysis.
NR
NPI Registry
CommunityEnables searching the National Provider Identifier (NPI) registry via a Model Context Protocol (MCP) server for integration into LLM contexts.
NH
Npm Helper
CommunityManages NPM packages and dependencies through interaction with LLMs, enabling package search and updates.
Provides up-to-date documentation for npm packages directly in your IDE by fetching the latest README from either GitHub or the bundled package.
NS
NPM Sentinel
CommunityAnalyzes NPM packages using AI to provide real-time insights into security, dependencies, and performance.
ND
NPS Data
CommunityRetrieves data from the National Park Service API, allowing users to fetch park lists and detailed information.
NE
NPS Explorer
CommunityQuery APIs for national park overviews, trails, alerts, events, and weather forecasts, making park data accessible to LLMs.
NT
NS Travel
CommunityProvides real-time Dutch Railways (NS) data for comprehensive journey planning, live departures, disruption alerts, and station search.
NS
Nsaf
CommunityEnables AI assistants to interact with the Neuro-Symbolic Autonomy Framework (NSAF) for agent self-design.
ND
NTeALan Dictionaries
CommunityProvides a unified interface for managing dictionary data, articles, and user contributions for NTeALan REST APIs, designed for easy integration and extension.
NT
Ntropy
CommunityEnrich banking data using the Ntropy API for use in LLM agents.
NU
Nu
CommunityExecutes Nushell scripts via the Model Context Protocol.
NU
Nuclei
CommunityManages and summarizes textual notes using the Model Context Protocol.
NA
Nuclei API
CommunityOrchestrates automated vulnerability scanning and template generation using an AI-augmented platform built around Nuclei.
NU
Nudge
CommunityEnables programmatic control and UI automation of macOS applications through accessibility APIs for AI agents and Swift applications.
NP
NuGet Package Oracle
CommunityProvides accurate interface and enum definitions directly from NuGet packages to reduce LLM hallucinations about real package APIs.
NU
Nuke
CommunityPerforms tasks within the Nuke compositing software.
NG
Number Guessing Game
CommunityDemonstrates a Model Context Protocol (MCP) server showcasing dynamic tools and resources through a number guessing game.
NU
Numpy
CommunityProvides numerical computations and operations via a Model Context Protocol (MCP) interface using NumPy.
NU
Nunu
CommunityExpedites the development of high-performance Go-based Model Context Protocol (MCP) servers.
What Are MCP Servers?
MCP (Model Context Protocol) servers are tools that connect AI assistants like Claude, Cursor, and other AI coding tools to external data sources, APIs, and services. They enable AI models to access real-time information, execute code, interact with databases, and perform actions beyond their base capabilities. Check out our curated collection of the best MCP servers for Cursor →
How MCP Servers Work
MCP servers act as intermediaries between AI assistants and external systems. When you ask Claude or Cursor to perform a task requiring external data, the MCP server handles the request, fetches the data, and returns it in a format the AI can understand and use.
Types of MCP Servers
- Code Completion Servers: Enhance AI coding assistants with context from your codebase, documentation, and project structure.
- API Integration Servers: Connect AI to REST APIs, GraphQL endpoints, and web services for real-time data access.
- File Management Servers: Enable AI to read, write, and organize files in your development environment.
- Data Analysis Servers: Connect AI to databases, data warehouses, and analytics tools.
Choosing the Right MCP Server
When selecting an MCP server, consider:
- IDE Compatibility: Ensure it works with Cursor, VS Code, or your preferred editor
- Use Case Match: Choose servers designed for your specific needs
- Maintenance Status: Prefer actively maintained servers with recent updates
- GitHub Activity: Higher stars and recent commits indicate quality
Popular Use Cases
- AI-Powered Code Completion Enhance Cursor and Claude with project-specific context.
- Automated API Testing Connect AI to your APIs for intelligent testing and debugging.
- Database Querying Let AI write and execute SQL queries against your databases.
For detailed setup guides, see our Complete MCP Server Setup Guide →
Frequently Asked Questions About MCP Servers
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
How do I install MCP servers in Cursor?
To install MCP servers in Cursor: 1) Open Cursor settings (Cmd+,), 2) Navigate to MCP Servers section, 3) Click 'Add Server', 4) Enter server configuration (name and command), 5) Restart Cursor. Check out our curated collection of the best MCP servers for Cursor with detailed setup guides.
What's the difference between MCP servers and VS Code extensions?
MCP servers are protocol-level integrations that work across multiple AI assistants (Claude, Cursor, etc.), while VS Code extensions are editor-specific. MCP servers provide context to AI models, whereas extensions add IDE functionality. MCP is more portable and AI-focused.
Are these MCP servers free to use?
Most MCP servers listed are open-source and free. Some enterprise connectors (like Salesforce or Jira) may require paid API access to the underlying service, but the MCP server code itself is usually free.
Can I build my own MCP server?
Yes! The Model Context Protocol is open standard. You can build servers in Python or TypeScript/Node.js to expose your own internal APIs or databases to Claude and Cursor.
What is a Model Context Protocol (MCP) server?
An MCP server is a lightweight program that exposes specific capabilities (data access, tool execution, prompts) to AI assistants through a standardized protocol. MCP servers allow Claude and other AI models to securely interact with external systems like databases, APIs, file systems, and web services while maintaining security boundaries.
How do MCP servers work with Claude?
MCP servers connect to Claude Desktop or other MCP-compatible clients through a standardized JSON-RPC protocol. When you configure an MCP server in Claude Desktop, Claude can access its resources (data/content), use its tools (functions to execute), and leverage its prompts (templated interactions). The protocol ensures secure, controlled access to external capabilities.
What are the best MCP servers to start with?
Essential MCP servers for beginners include: Filesystem (local file access), SQLite/PostgreSQL (database queries), GitHub (repository access), Brave Search (web search), and Memory (persistent context). These cover common use cases and have excellent documentation. Start with 2-3 servers and expand based on your needs.
How do I install and configure MCP servers?
Most MCP servers install via npm (npx) or Python (uvx/pip). Configure them in Claude Desktop's config file (claude_desktop_config.json) by specifying the command, arguments, and any required environment variables like API keys. Our directory links to each server's documentation with specific installation instructions.
Are MCP servers secure?
MCP servers run locally on your machine with explicit permissions you configure. They can only access resources you authorize, and Claude cannot bypass these boundaries. However, always review server code, use official/verified servers when possible, limit permissions to what's necessary, and be cautious with servers that request broad access.
What's the difference between MCP resources, tools, and prompts?
Resources are data sources Claude can read (files, database results, API responses). Tools are functions Claude can execute (run queries, send messages, create files). Prompts are pre-defined templates for common interactions. Most MCP servers expose one or more of these capability types.
Which AI clients support MCP besides Claude Desktop?
MCP is supported by Claude Desktop (official), Cursor IDE, Continue (VS Code extension), and various community implementations. The protocol is open, so support is expanding to more AI development tools. Check our compatibility filters to find servers tested with your preferred client.
How often is this MCP servers directory updated?
Our MCP servers directory is updated weekly with new servers, documentation improvements, and compatibility updates. We monitor GitHub releases, community contributions, and Anthropic announcements to ensure our listings reflect the latest MCP ecosystem developments.
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